Instructions to use cuongdev/tonghop3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cuongdev/tonghop3", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 29c91473ceb007265db6d80fa3d637701f6eb630ae5e2bf46953e46284ff2a7d
- Size of remote file:
- 3.46 GB
- SHA256:
- 370d3abe120da052e69c8c41e153c824f43ff34ea60697f55dac9491e67f586b
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